IP Library Granted Patent US 7,230,235
Granted Patent B2
US 7,230,235 · App. 11/122,364 · Granted Jun 12, 2007

Automatic detection of quality spectra

Assignees: Palo Alto Research Center Incorporated; The Scripps Research Institute
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Quick Facts
Patent No.
US 7,230,235
App. No.
11/122,364
Granted
Jun 12, 2007
Kind
B2
Abstract

The present application provides systems and/or methods for accessing a portion of a mass-fragment spectrum, constructing a vector that is responsive to an intensity-balance of the spectrum, and selecting the spectrum responsive to the vector.

Claims (78)

1. A computer controlled method comprising:

accessing a portion of a mass-fragment spectrum;

evaluating the portion of the mass-fragment spectrum responsive to an intensity balance of the portion of the mass-fragment spectrum; and

processing the mass-fragment spectrum responsive to the step of evaluating.

2. The method of claim 1 , wherein the step of processing further comprises rating the mass-fragment spectrum.

3. The method of claim 1 , wherein the step of processing further comprises selecting the mass-fragment spectrum.

4. The method of claim 1 , wherein the step of evaluating further comprises:

constructing a vector responsive to the intensity balance of the mass-fragment spectrum; and

locating the vector in a multidimensional space comprising a plurality of regions separated by at least one surface, the at least one surface determined by training data.

5. The method of claim 4 , wherein the at least one surface is a quadratic surface.

6. The method of claim 1 , wherein the step of evaluating further comprises:

constructing a vector responsive to the intensity balance of the mass-fragment spectrum;

determining one or more parameters of an evaluation function, the one or more parameters responsive to training data; and

applying the parameterized evaluation function to the vector.

7. The method of claim 6 , wherein the step of determining further comprises application of a support vector machine to the vector and the multidimensional space.

8. The method of claim 1 , further comprising constructing a vector responsive to the intensity balance of the mass-fragment spectrum, and wherein the construction of the vector further includes making the vector responsive to a peak pair difference of the mass-fragment spectrum.

9. The method of claim 1 , further comprising constructing a vector responsive to the intensity balance of the mass-fragment spectrum, and wherein the vector is responsive to a normalized intensity of pairs of peaks with m/z values differing by approximately 18 Da.

10. The method of claim 9 , wherein the normalizing step includes using a rank-based intensity normalization scheme.

11. The method of claim 1 , wherein the mass-fragment spectrum is of a sample containing a polymer.

12. The method of claim 11 , wherein the polymer is selected from one or more of the group consisting of a peptide, a polysaccharide, a lipid and a polynucleotide.

13. The method of claim 1 , wherein the mass-fragment spectrum includes at least one peak which represents a multiply charged ion.

14. A program product comprising:

a computer-usable data carrier storing instructions that, when executed by a computer, cause said computer to perform a method comprising:

accessing a portion of a mass-fragment spectrum;

evaluating the portion of the mass-fragment spectrum responsive to an intensity balance of the portion of the mass-fragment spectrum; and

processing the mass-fragment spectrum responsive to the step of evaluating.

15. The program product of claim 14 wherein the step of processing further comprises rating or selecting the mass-fragment spectrum.

16. The method of claim 14 , wherein the step of evaluating further comprises:

constructing a vector responsive to the intensity balance of the mass-fragment spectrum; and

locating the vector in a multidimensional space comprising a plurality of regions separated by at least one surface, the at least one surface determined by training data.

17. The method of claim 14 , wherein the step of evaluating further comprises:

constructing a vector responsive to the intensity balance of the mass-fragment spectrum;

determining one or more parameters of an evaluation function, the one or more parameters responsive to training data; and

applying the parameterized evaluation function to the vector.

18. An apparatus comprising:

a mass spectrometer that generates a mass-fragment spectrum; and

a computer that employs a filter that accesses at least a portion of the mass-fragment spectrum, constructs a vector that is responsive to an intensity-balance of the spectrum, and selects the spectrum responsive to the vector.

19. The apparatus of claim 18 , further comprising a sequencer that determines at least one possible sequence of a plurality of molecular subunits that corresponds to the information in the mass-fragment spectrum.

20. A computer controlled method comprising:

accessing a portion of a mass-fragment spectrum;

evaluating the portion of the mass-fragment spectrum responsive to a peak pair difference; and

processing the mass-fragment spectrum responsive to the step of evaluating.

21. The method of claim 20 , wherein the step of processing further comprises rating the mass-fragment spectrum.

22. The method of claim 20 , wherein the step of processing further comprises selecting the mass-fragment spectrum.

23. The method of claim 20 , wherein the step of evaluating further comprises

constructing a vector responsive to the peak pair difference; and

locating the vector in a multidimensional space comprising a plurality of regions separated by at least one surface, the at least one surface determined by training data.

24. The method of claim 23 , wherein the at least one surface is a quadratic surface.

25. The method of claim 20 , wherein the step of evaluating further comprises:

constructing a vector responsive to the peak pair difference;

determining one or more parameters of an evaluation function, the one or more parameters responsive to training data; and

applying the parameterized evaluation function to the vector.

26. The method of claim 25 , wherein the evaluation function is a linear function of the vector.

27. The method of claim 25 , wherein the evaluation function is a polynomial function of the vector.

28. The method of claim 20 , wherein the step of determining further comprises

constructing a vector responsive to the peak pair difference; and

application of a support vector machine to the vector.

29. The method of claim 20 , wherein the peak pair difference is a difference between a peak isotope pair.

30. The method of claim 20 , wherein the step of evaluating is also responsive to an intensity balance of the mass-fragment spectrum.

31. The method of claim 20 , wherein the peak pair difference is of a pair of peaks with m/z values differing by approximately 18 Da.

32. The method of claim 20 , wherein the step of evaluating is also responsive to a normalized intensity of pairs of peaks,

33. The method of claim 32 , wherein normalizing intensity peaks includes using a rank-based intensity normalization scheme.

34. The method of claim 20 , wherein the mass-fragment spectrum is of a sample containing a polymer.

35. The method of claim 34 , wherein the polymer is selected from one or more of the group consisting of a peptide, a polysaccha ride 1 a lipid and a polynucleotide.

36. The method of claim 20 , wherein the mass-fragment spectrum includes at least one peak which represents a multiply charged ion.

37. A program product comprising:

a computer-usable data carrier storing instructions that, when executed by a computer, cause said computer to perform a method comprising:

accessing a portion of a mass-fragment spectrum;

evaluating the portion of the mass-fragment spectrum responsive to a peak pair difference; and

processing the mass-fragment spectrum responsive to the step of evaluating.

38. The program product of claim 37 wherein the step of processing further comprises rating or selecting the mass-fragment spectrum.

39. The program product of claim 37 , wherein the step of evaluating further comprises:

constructing a vector responsive to the peak pair difference; and

locating the vector in a multidimensional space comprising a plurality of regions separated by at least one surface, the at least one surface determined by training data.

40. An apparatus comprising:

a mass spectrometer that generates a mass-fragment spectrum; and

a filter that accesses at least a portion of the mass-fragment spectrum, constructs a vector that is responsive to a peak pair difference and selects the spectrum responsive to the vector.

41. The apparatus of claim 40 , further comprising a sequencer that determines at least one possible sequence of a plurality of monomers that corresponds to the information in the mass-fragment spectrum.

Assignments (3)
CONFIRMATORY LICENSE Recorded Nov 13, 2008
From: SCRIPPS RESEARCH INSTITUTE
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 021830/0289 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 19, 2006
From: GOLDBERG, DAVID; BERN, MARSHALL W.
To: PALO ALTO RESEARCH CENTER INCORPORATED
Reel/Frame 017494/0107 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 19, 2006
From: YATES, III, JOHN R.
To: THE SCRIPPS RESEARCH INSTITUTE
Reel/Frame 017494/0275 →
Continuity (1)
Related Publication 20060249667A1 · Nov 9, 2006